Retail Product Image Classification
Annotated 15,000 product images by drawing bounding boxes around items and classifying them into categories (clothing, electronics, home goods). Ensured consistency through peer review and maintained 95% accuracy.
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I am a detail-oriented software engineer with 3 years of experience working on diverse projects that require precision and collaboration, particularly in mobile development using Flutter. My background has given me extensive hands-on experience with data management, annotation, and integration across various platforms and databases such as Firebase, Supabase, and MongoDB. I am highly proficient in Dart, JavaScript, and C, and have a strong track record of working with frameworks like Flutter, React, and Node.js to deliver efficient, high-quality solutions. My experience collaborating with cross-functional teams has honed my ability to follow guidelines, ensure data accuracy, and contribute to the development of reliable AI and machine learning applications, making me well-suited for data labeling and AI training data roles.
Annotated 15,000 product images by drawing bounding boxes around items and classifying them into categories (clothing, electronics, home goods). Ensured consistency through peer review and maintained 95% accuracy.
B.Eng, Mechatronics Engineering (Robotics/AI option)
Flutter Developer